任务：有一一对应的图片多组如下，希望统计灰色部分原有grb平均值，彩色部分rgb平均值。
方法：由下图对各个像素分析，分为3类，并记录坐标，根据坐标统计上图的rgb平均值，结果放在一张Excel中。
import os
import time
from PIL import Image
import openpyxldef process_images(folder1, folder2, output_excel):start_time = time.time() # # 创建一个新的Excel工作簿wb = openpyxl.Workbook()ws = wb.activews.title = "Image Analysis"ws.append(["Image Name", "Category", "Average R", "Average G", "Average B"])# 获取文件夹中的所有文件名files1 = [f for f in os.listdir(folder1) if f.endswith('.jpg')]files2 = [f for f in os.listdir(folder2) if f.endswith('.jpg.jpg')]# 确保文件名对应for file1 in files1:file2 = file1 + ".jpg"if file2 in files2:img1_path = os.path.join(folder1, file1)img2_path = os.path.join(folder2, file2)img1 = Image.open(img1_path)img2 = Image.open(img2_path)if img1.size != img2.size:print(f"Skipping {file1} and {file2} due to size mismatch.")continuepixels1 = img1.load()pixels2 = img2.load()categories = {'black': {'count': 0, 'total_r': 0, 'total_g': 0, 'total_b': 0},'gray': {'count': 0, 'total_r': 0, 'total_g': 0, 'total_b': 0},'other': {'count': 0, 'total_r': 0, 'total_g': 0, 'total_b': 0}}for y in range(img1.height):for x in range(img1.width):r2, g2, b2 = pixels2[x, y]if (r2, g2, b2) == (0, 0, 0):category = 'black'elif (r2, g2, b2) == (169, 169, 169):category = 'gray'else:category = 'other'r1, g1, b1 = pixels1[x, y]categories[category]['count'] += 1categories[category]['total_r'] += r1categories[category]['total_g'] += g1categories[category]['total_b'] += b1for category, data in categories.items():if data['count'] > 0:avg_r = data['total_r'] / data['count']avg_g = data['total_g'] / data['count']avg_b = data['total_b'] / data['count']ws.append([file1, category, avg_r, avg_g, avg_b])else:ws.append([file1, category, 0, 0, 0])wb.save(output_excel)end_time = time.time() # 结束计时elapsed_time = end_time - start_timeprint(f"Elapsed time: {elapsed_time:.2f} seconds")# 使用示例
folder1 = '/folder1' # 文件夹路径
folder2 = '/folder2' #
output_excel = 'output.xlsx'
process_images(folder1, folder2, output_excel)
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